Full-Time
Senior Machine Learning Engineer
Squad Maât
Doctrine
Open-source PHP ORM and DBAL libraries
No salary listed
Paris, France
Hybrid
Hybrid: 2 days per week in-office (Tuesdays and Thursdays).
 AI & Machine Learning (1) |
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- Strong knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation, ideally with some first-hand experience with LLMs.
- Experience with natural language search engines and inverted indexes such as Elasticsearch.
- Solid understanding of MLOps challenges, with a strong motivation to grow in this area.
- Strong Python development skills, with a focus on algorithm design.
- Proficiency in French, as you will be working with legal data in French.
- Develop NLP models (whether based on Machine Learning or not) to assist with information search and recommendation within legal documents, in particular.
- Maintain and monitor these models in production.
- Design conversational agents to accelerate lawyers’ work across various areas of law, ensuring accurate responses and facilitating drafting tasks.
- Collaborate with different types of profiles, including engineers, product managers, and product designers, to identify new product development opportunities.
- Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our Engineering strategy.
- Experience with first-hand exposure to large language models (LLMs).
- A keen interest in artificial intelligence topics.
- Desire to identify, analyze, and deploy the latest scientific advances in production.
- Extras: Being part of the cross-functional Web chapter and contributing to internal projects, knowledge sharing culture, and recruitment involvement could be considered desirable experience.
Doctrine provides PHP libraries for database storage and object mapping, most notably the Object Relational Mapper (ORM) and the Database Abstraction Layer (DBAL). These open-source tools help PHP developers interact with databases by mapping PHP objects to database tables and by offering a unified API for database operations. The project is widely used across PHP frameworks such as Symfony, Laravel, and Laminas, and is maintained by a volunteer community under the MIT license. Unlike proprietary DB tools, Doctrine is funded through donations and sponsorships, and it also engages the developer community through blogs, events, and consulting. The goal is to give PHP developers stable, flexible database management capabilities and a reliable open-source ecosystem.
Company Size
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Company Stage
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Total Funding
N/A
Headquarters
N/A
Founded
2006
Simplify's Take
What believers are saying
- ORM 3.4.0 supports PHP 8.4 lazy objects, boosting enterprise adoption.
- SkillDisplay partnership enables certification revenue from skill definitions.
- Cloud sponsors like AWS expand funding for database lock-in reduction.
What critics are saying
- Laravel Eloquent erodes adoption with zero-config ActiveRecord in 6-12 months.
- Symfony shifts to lighter DBAL, fragmenting ORM dependency in 12-24 months.
- Community burnout halts development post-3.4.0 in 12-18 months.
What makes Doctrine unique
- Doctrine delivers stable ORM and DBAL since 2006 for PHP developers.
- Integrates seamlessly with Symfony, Laravel, and Laminas frameworks.
- Offers flexible high-level and low-level database programming tools.
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Benefits
Remote Work Options
Unlimited Paid Time Off
Professional Development Budget
Health Insurance
Gym Membership
Commuter Benefits
Meal Benefits
Company News
Last week Doctrine Project has released Doctrine 3.4.0 which primarily adds support for PHP 8.4 functionality:
Now, SkillDisplay is partnering with Doctrine to offer open data skill definitions for these libraries, creating a shared foundation of competencies that will benefit developers across the community.